Structure encapsulating the parameters of a Poisson_ljlk model. More...

#include <STK_PoissonParameters.h>

Public Member Functions
	ModelParameters (int nbCluster)
	default constructor

	ModelParameters (ModelParameters const &param)
	copy constructor.

	~ModelParameters ()
	destructor

Real	lambda (int k, int j) const

void	resize (Range const &range)
	resize the set of parameter

void	updateStatistics ()
	update statistics of the parameters.

void	setStatistics ()
	Set the computed statistics.

void	releaseStatistics ()
	Release the computed statistics.

template<class Array >
void	setParameters (ExprBase< Array > const &params)
	Set the parameters of the mixture model.

Public Attributes
CVectorX	lambdak_
	intensity of the variables by class

CPointX	lambdaj_
	intensity of the variables by variables

Array1D< Stat::Online< Real, Real > >	stat_lambdak_
	Array of the lambdak_ statistics.

Stat::Online< CVectorX, Real >	stat_lambdaj_
	Array of the lambdaj_ statistics.

Detailed Description

Structure encapsulating the parameters of a Poisson_ljlk model.

Definition at line 54 of file STK_PoissonParameters.h.

Constructor & Destructor Documentation

◆ ModelParameters() [1/2]

STK::ModelParameters< Clust::Poisson_ljlk_ >::ModelParameters ( int nbCluster )

default constructor

Parameters

nbCluster the number of class of the mixture

Definition at line 91 of file STK_PoissonParameters.cpp.

                : lambdak_(nbCluster), lambdaj_()
                , stat_lambdak_(nbCluster), stat_lambdaj_()
{}

◆ ModelParameters() [2/2]

STK::ModelParameters< Clust::Poisson_ljlk_ >::ModelParameters ( ModelParameters< Clust::Poisson_ljlk_ > const & param )

copy constructor.

Parameters

param the parameters to copy.

Definition at line 98 of file STK_PoissonParameters.cpp.

               : lambdak_(param.lambdak_)
               , lambdaj_(param.lambdaj_)
               , stat_lambdak_(param.stat_lambdak_)
               , stat_lambdaj_(param.stat_lambdaj_)
{}

◆ ~ModelParameters()

STK::ModelParameters< Clust::Poisson_ljlk_ >::~ModelParameters ( )

destructor

Definition at line 105 of file STK_PoissonParameters.cpp.

105{}

Member Function Documentation

◆ lambda()

Real STK::ModelParameters< Clust::Poisson_ljlk_ >::lambda	(	int	k,
		int	j
	)		const

inline

Returns: the intensity of the kth cluster and jth variable

Definition at line 77 of file STK_PoissonParameters.h.

77{ return lambdak_[k] * lambdaj_[j];}

◆ releaseStatistics()

void STK::ModelParameters< Clust::Poisson_ljlk_ >::releaseStatistics ( )

Release the computed statistics.

Definition at line 138 of file STK_PoissonParameters.cpp.

{
  for(int k=stat_lambdak_.begin(); k<stat_lambdak_.end(); ++k)
  { stat_lambdak_[k].release();}
  stat_lambdaj_.release();
}

◆ resize()

void STK::ModelParameters< Clust::Poisson_ljlk_ >::resize ( Range const & range )

resize the set of parameter

Definition at line 107 of file STK_PoissonParameters.cpp.

{
  for (int k = lambdak_.begin(); k< lambdak_.end(); ++k)
  {
    lambdak_[k] = 1.;
    stat_lambdak_[k].release();
  }
  lambdaj_.resize(range) = 1;
  stat_lambdaj_.resize(range);
}

◆ setParameters()

template<class Array >

void STK::ModelParameters< Clust::Poisson_ljlk_ >::setParameters ( ExprBase< Array > const & params )

inline

Set the parameters of the mixture model.

It is assumed that the array params is of size (nbCluster, nbVariable).

Definition at line 93 of file STK_PoissonParameters.h.

    {
      lambdak_ = Stat::meanByRow(params.asDerived());
      lambdaj_ = Stat::meanByCol(params.asDerived());
      Real cte = std::sqrt((params/(lambdak_ * lambdaj_)).mean());
      lambdak_ *= cte;
      lambdaj_ *= cte;
    }

References STK::mean(), STK::Stat::meanByCol(), and STK::Stat::meanByRow().

◆ setStatistics()

void STK::ModelParameters< Clust::Poisson_ljlk_ >::setStatistics ( )

Set the computed statistics.

Definition at line 126 of file STK_PoissonParameters.cpp.

{
  for(int k=stat_lambdak_.begin(); k<stat_lambdak_.end(); ++k)
  {
    lambdak_[k] = stat_lambdak_[k].mean();
    stat_lambdak_[k].release();
  }
  lambdaj_ = stat_lambdaj_.mean();
  stat_lambdaj_.release();
 
}

◆ updateStatistics()

void STK::ModelParameters< Clust::Poisson_ljlk_ >::updateStatistics ( )

update statistics of the parameters.

Definition at line 119 of file STK_PoissonParameters.cpp.

{
  for(int k=stat_lambdak_.begin(); k<stat_lambdak_.end(); ++k)
  { stat_lambdak_[k].update(lambdak_[k]);}
  stat_lambdaj_.update(lambdaj_);
}

Member Data Documentation

◆ lambdaj_

CPointX STK::ModelParameters< Clust::Poisson_ljlk_ >::lambdaj_

intensity of the variables by variables

Definition at line 59 of file STK_PoissonParameters.h.

◆ lambdak_

CVectorX STK::ModelParameters< Clust::Poisson_ljlk_ >::lambdak_

intensity of the variables by class

Definition at line 57 of file STK_PoissonParameters.h.

◆ stat_lambdaj_

Stat::Online<CVectorX, Real> STK::ModelParameters< Clust::Poisson_ljlk_ >::stat_lambdaj_

Array of the lambdaj_ statistics.

Definition at line 63 of file STK_PoissonParameters.h.

◆ stat_lambdak_

Array1D< Stat::Online<Real, Real> > STK::ModelParameters< Clust::Poisson_ljlk_ >::stat_lambdak_

Array of the lambdak_ statistics.

Definition at line 61 of file STK_PoissonParameters.h.

The documentation for this struct was generated from the following files:

Public Member Functions

Public Attributes