plLearnNdNormal.h

/*=============================================================================
 * Product        : OpenPL 
 * File           : plLearnNdNormal.h
 * Author         : Kamel Mekhnacha
 * Creation       : Mon Oct 27 14:57:12 2003
 *
 *=============================================================================
 *     (c) Copyright 2000, Centre National de la Recherche Scientifique,
 *                              all rights reserved
 *=============================================================================
 *
 *------------------------- Description ---------------------------------------
 *   
 *   
 *-----------------------------------------------------------------------------
 */

#ifndef __plLearNdNormal_h_
#define __plLearNdNormal_h_

#include <plLearn.h>
#include <plFloatVector.h>
#include <plFloatMatrix.h>
#include <plNormal.h>

// A macro to get the size of the vector required to store the symmetric covariance matrix.
#define VAR_MATRIX_SIZE(d) ( (d *(d + 1)/2) )

// A macro to get a reference to the element (i, j) of the covariance matrix. ATTENTION: j > i.
#define Sij(i, j) (_sij[ (i)*(2*_dimension-i+1)/2 + ((j) - (i))])
 
class plLearnNdNormal :public plNonCndLearnObject
{
public:
  plLearnNdNormal(const plVariablesConjunction &vars);
  
  plLearnNdNormal(const plVariablesConjunction &vars, const plFloatVector &init_mean,
                  const plFloatMatrix &init_matrix, double init_weight = 1.0);
  
  plLearnNdNormal();
    
  virtual ~plLearnNdNormal(){};
    
  void reset();

  void internal_addPoint(const plDataValues &point, double weight = 1.0);
  
  void internal_addPointWithDef(const plDataValues &point, const vector <bool> &left_defined, double weight = 1.0);

  
  void getMean(plFloatVector &mean) const;
    
  plFloatVector getMean() const;
  
  void getCovariance(plFloatMatrix &covariance) const;
    

  plFloatMatrix getCovariance() const;
    
  
  void get_params(plValues &params) const;
  
  void get_actual_min_max(plFloatVector &min, plFloatVector &max) const;
  
  plKernel get_distribution(  const void *parameters = NULL ) const;
      
protected:
  unsigned int _dimension;
  vector <double> _s;
  //vector < vector <double> > _sij;
  vector <double>  _sij;
  

  plFloatVector _init_mean;
  plFloatMatrix _init_covariance;
  double _init_weight;
  
  bool _has_initialization;
};


#endif

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