STK_GammaParameters.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.org (see copyright for ...)
*/
 
/*
 * Project:  stkpp::Clustering
 * created on: Oct 24, 2013
 * Author:   Serge Iovleff
 **/
 
#ifndef STK_GAMMAPARAMETERS_H
#define STK_GAMMAPARAMETERS_H
 
#include "../STK_Clust_Util.h"
 
#include <Arrays/include/STK_Array1D.h>
#include <Arrays/include/STK_CArrayPoint.h>
 
#include <STatistiK/include/STK_Stat_Online.h>
 
namespace STK
{
struct ParametersGammaBase
{
  Array1D<CPointX> mean_;
  Array1D<CPointX> meanLog_;
  Array1D<CPointX> variance_;
 
  ParametersGammaBase( int nbCluster);
  ParametersGammaBase( ParametersGammaBase const& model);
  ~ParametersGammaBase();
  ParametersGammaBase& operator=( ParametersGammaBase const& other);
  void resize(Range const& range);
};
 
template<>
struct ModelParameters<Clust::Gamma_a_bjk_>: ParametersGammaBase
{
    Real shape_;
    Array1D<CPointX>  scale_;
    Stat::Online<Real, Real> stat_shape_;
    Array1D< Stat::Online<CPointX, Real> > stat_scale_;
 
    ModelParameters(int nbCluster);
    ModelParameters( ModelParameters const& param);
    ~ModelParameters();
 
    inline Real const& shape(int k, int j) const { return shape_;}
    inline Real const& scale(int k, int j) const { return scale_[k][j];}
 
    void resize(Range const& range);
 
    void updateStatistics();
    void setStatistics();
    void releaseStatistics();
 
    template<class Array>
    void setParameters( ExprBase<Array> const& params)
    {
      shape_ = 0.;
      for(int k=scale_.begin(), kp= params.beginRows(); k<scale_.end(); ++k, kp+=2)
      {
        shape_ += params.row(kp).mean();
        scale_[k] = params.row(kp+1);
      }
      shape_ /= scale_.size();
    }
};
 
template<>
struct ModelParameters<Clust::Gamma_a_bk_>: public ParametersGammaBase
{
    Real shape_;
    Array1D<Real>  scale_;
    Stat::Online<Real, Real> stat_shape_;
    Array1D< Stat::Online<Real, Real> > stat_scale_;
 
    ModelParameters(int nbCluster);
    ModelParameters( ModelParameters const& param);
    ~ModelParameters();
 
    inline Real const& shape(int k, int j) const { return shape_;}
    inline Real const& scale(int k, int j) const { return scale_[k];}
 
    void resize(Range const& range);
 
    void updateStatistics();
    void setStatistics();
    void releaseStatistics();
 
    template<class Array>
    void setParameters(ExprBase<Array> const& params)
    {
      shape_ = 0.;
      for(int k=scale_.begin(), kp= params.beginRows(); k<scale_.end(); ++k, kp+=2)
      {
        shape_ += params.row(kp).mean();
        scale_[k] = params.row(kp+1).mean();
      }
      shape_ /= scale_.size();
    }
};
 
template<>
struct ModelParameters<Clust::Gamma_aj_bjk_>: public ParametersGammaBase
{
    CPointX shape_;
    Array1D<CPointX>  scale_;
    Stat::Online<CPointX, Real> stat_shape_;
    Array1D< Stat::Online<CPointX, Real> > stat_scale_;
 
    ModelParameters(int nbCluster);
    ModelParameters( ModelParameters const& param);
    ~ModelParameters();
 
    inline Real const& shape(int k, int j) const { return shape_[k];}
    inline Real const& scale(int k, int j) const { return scale_[k][j];}
 
    void resize(Range const& range);
 
    void updateStatistics();
    void setStatistics();
    void releaseStatistics();
 
    template<class Array>
    void setParameters(ExprBase<Array> const& params)
    {
      shape_ = 0.;
      for(int k=scale_.begin(), kp= params.beginRows(); k<scale_.end(); ++k, kp+=2)
      {
        shape_ += params.row(kp);
        scale_[k] = params.row(kp+1);
      }
      shape_ /= scale_.size();
    }
};
 
template<>
struct ModelParameters<Clust::Gamma_aj_bk_>: public ParametersGammaBase
{
    CPointX shape_;
    Array1D<Real>  scale_;
    Stat::Online<CPointX, Real> stat_shape_;
    Array1D< Stat::Online<Real, Real> > stat_scale_;
 
    ModelParameters(int nbCluster);
    ModelParameters( ModelParameters const& param);
    ~ModelParameters();
 
    inline Real const& shape(int k, int j) const { return shape_[j];}
    inline Real const& scale(int k, int j) const { return scale_[k];}
 
    void resize(Range const& range);
 
    void updateStatistics();
    void setStatistics();
    void releaseStatistics();
 
    template<class Array>
    void setParameters(ExprBase<Array> const& params)
    {
      shape_ = 0.;
      for(int k=scale_.begin(), kp= params.beginRows(); k<scale_.end(); ++k, kp+=2)
      {
        shape_ += params.row(kp);
        scale_[k] = params.row(kp+1).mean();
      }
      shape_ /= scale_.size();
    }
};
 
template<>
struct ModelParameters<Clust::Gamma_ajk_b_>: public ParametersGammaBase
{
    Array1D<CPointX> shape_;
    Real  scale_;
    Array1D< Stat::Online<CPointX, Real> > stat_shape_;
    Stat::Online<Real, Real> stat_scale_;
 
    ModelParameters(int nbCluster);
    ModelParameters( ModelParameters const& param);
    ~ModelParameters();
 
    inline Real const& shape(int k, int j) const { return shape_[k][j];}
    inline Real const& scale(int k, int j) const { return scale_;}
 
    void resize(Range const& range);
 
    void updateStatistics();
    void setStatistics();
    void releaseStatistics();
 
    template<class Array>
    void setParameters(ExprBase<Array> const& params)
    {
      scale_ = 0.;
      for(int k=shape_.begin(), kp= params.beginRows(); k<shape_.end(); ++k, kp+=2)
      {
        shape_[k] = params.row(kp);
        scale_ = params.row(kp+1).mean();
      }
      scale_ /= shape_.size();
    }
};
 
template<>
struct ModelParameters<Clust::Gamma_ajk_bj_>: public ParametersGammaBase
{
    Array1D<CPointX> shape_;
    CPointX  scale_;
    Array1D< Stat::Online<CPointX, Real> > stat_shape_;
    Stat::Online<CPointX, Real> stat_scale_;
 
    ModelParameters(int nbCluster);
    ModelParameters( ModelParameters const& param);
    ~ModelParameters();
 
    inline Real const& shape(int k, int j) const { return shape_[k][j];}
    inline Real const& scale(int k, int j) const { return scale_[j];}
 
    void resize(Range const& range);
 
    void updateStatistics();
    void setStatistics();
    void releaseStatistics();
 
    template<class Array>
    void setParameters(ExprBase<Array> const& params)
    {
      scale_ = 0.;
      for(int k=shape_.begin(), kp= params.beginRows(); k<shape_.end(); ++k, kp+=2)
      {
        shape_[k] = params.row(kp);
        scale_ += params.row(kp+1);
      }
      scale_ /= shape_.size();
    }
};
 
template<>
struct ModelParameters<Clust::Gamma_ajk_bjk_>: public ParametersGammaBase
{
    Array1D<CPointX> shape_;
    Array1D<CPointX> scale_;
    Array1D< Stat::Online<CPointX, Real> > stat_shape_;
    Array1D< Stat::Online<CPointX, Real> > stat_scale_;
 
    ModelParameters(int nbCluster);
    ModelParameters( ModelParameters const& param);
    ~ModelParameters();
 
    inline Real const& shape(int k, int j) const { return shape_[k][j];}
    inline Real const& scale(int k, int j) const { return scale_[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=shape_.begin(), kp= params.beginRows(); k<shape_.end(); ++k, kp+=2)
      {
        shape_[k] = params.row(kp);
        scale_[k] = params.row(kp+1);
      }
    }
};
 
template<>
struct ModelParameters<Clust::Gamma_ajk_bk_>: public ParametersGammaBase
{
    Array1D<CPointX> shape_;
    Array1D<Real> scale_;
    Array1D< Stat::Online<CPointX, Real> > stat_shape_;
    Array1D< Stat::Online<Real, Real> > stat_scale_;
 
    ModelParameters(int nbCluster);
    ModelParameters( ModelParameters const& param);
    ~ModelParameters();
 
    inline Real const& shape(int k, int j) const { return shape_[k][j];}
    inline Real const& scale(int k, int j) const { return scale_[k];}
 
    void resize(Range const& range);
 
    void updateStatistics();
    void setStatistics();
    void releaseStatistics();
 
    template<class Array>
    void setParameters(ExprBase<Array> const& params)
    {
      for(int k=shape_.begin(), kp= params.beginRows(); k<shape_.end(); ++k, kp+=2)
      {
        shape_[k] = params.row(kp);
        scale_[k] = params.row(kp+1).mean();
      }
    }
};
 
template<>
struct ModelParameters<Clust::Gamma_ak_b_>: public ParametersGammaBase
{
    Array1D<Real> shape_;
    Real  scale_;
    Array1D< Stat::Online<Real, Real> > stat_shape_;
    Stat::Online<Real, Real> stat_scale_;
 
    ModelParameters(int nbCluster);
    ModelParameters( ModelParameters const& param);
    ~ModelParameters();
 
    inline Real const& shape(int k, int j) const { return shape_[k];}
    inline Real const& scale(int k, int j) const { return scale_;}
 
    void resize(Range const& range);
 
    void updateStatistics();
    void setStatistics();
    void releaseStatistics();
 
    template<class Array>
    void setParameters(ExprBase<Array> const& params)
    {
      scale_ = 0.;
      for(int k=shape_.begin(), kp= params.beginRows(); k<shape_.end(); ++k, kp+=2)
      {
        shape_[k] = params.row(kp).mean();
        scale_ += params.row(kp+1).mean();
      }
      scale_ /= shape_.size();
    }
};
 
template<>
struct ModelParameters<Clust::Gamma_ak_bj_>: public ParametersGammaBase
{
    Array1D<Real> shape_;
    CPointX  scale_;
    Array1D< Stat::Online<Real, Real> > stat_shape_;
    Stat::Online<CPointX, Real> stat_scale_;
 
    ModelParameters(int nbCluster);
    ModelParameters( ModelParameters const& param);
    ~ModelParameters();
 
    inline Real const& shape(int k, int j) const { return shape_[k];}
    inline Real const& scale(int k, int j) const { return scale_[j];}
 
    void resize(Range const& range);
 
    void updateStatistics();
    void setStatistics();
    void releaseStatistics();
 
    template<class Array>
    void setParameters(ExprBase<Array> const& params)
    {
      scale_ = 0.;
      for(int k=shape_.begin(), kp= params.beginRows(); k<shape_.end(); ++k, kp+=2)
      {
        shape_[k] = params.row(kp).mean();
        scale_ += params.row(kp+1);
      }
      scale_ /= shape_.size();
    }
};
 
template<>
struct ModelParameters<Clust::Gamma_ak_bjk_>: public ParametersGammaBase
{
    Array1D<Real> shape_;
    Array1D<CPointX> scale_;
    Array1D< Stat::Online<Real, Real> > stat_shape_;
    Array1D< Stat::Online<CPointX, Real> > stat_scale_;
 
    ModelParameters(int nbCluster);
    ModelParameters( ModelParameters const& param);
    ~ModelParameters();
 
    inline Real const& shape(int k, int j) const { return shape_[k];}
    inline Real const& scale(int k, int j) const { return scale_[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=shape_.begin(), kp= params.beginRows(); k<shape_.end(); ++k, kp+=2)
      {
        shape_[k] = params.row(kp).mean();
        scale_[k] = params.row(kp+1);
      }
    }
};
 
template<>
struct ModelParameters<Clust::Gamma_ak_bk_>: public ParametersGammaBase
{
    Array1D<Real> shape_;
    Array1D<Real> scale_;
    Array1D< Stat::Online<Real, Real> > stat_shape_;
    Array1D< Stat::Online<Real, Real> > stat_scale_;
 
    ModelParameters(int nbCluster);
    ModelParameters( ModelParameters const& param);
    ~ModelParameters();
 
    inline Real const& shape(int k, int j) const { return shape_[k];}
    inline Real const& scale(int k, int j) const { return scale_[k];}
 
    void resize(Range const& range);
 
    void updateStatistics();
    void setStatistics();
    void releaseStatistics();
 
    template<class Array>
    void setParameters(ExprBase<Array> const& params)
    {
      for(int k=shape_.begin(), kp= params.beginRows(); k<shape_.end(); ++k, kp+=2)
      {
        shape_[k] = params.row(kp).mean();
        scale_[k] = params.row(kp+1).mean();
      }
    }
};
 
} // namespace STK
 
#endif /* STK_GAMMAPARAMETERS_H */