paradiseo/edo/src/edoContAdaptiveFinite.h
nojhan 38e3f40bad cleaner numerical errors management for EDO adaptive algos
- Change the ill-condition continuator to use eigen decomposition of the
covariance matrix, just like in the adaptive estimator.
- Add a warning message in adaptive sampler.
2020-03-17 12:05:56 +01:00

114 lines
3.6 KiB
C++

/*
The Evolving Distribution Objects framework (EDO) is a template-based,
ANSI-C++ evolutionary computation library which helps you to write your
own estimation of distribution algorithms.
This library 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 2.1 of the License, or (at your option) any later version.
This library 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 library; if not, write to the Free Software
Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
Copyright (C) 2020 Thales group
*/
/*
Authors:
Johann Dréo <johann.dreo@thalesgroup.com>
*/
#ifndef _edoContAdaptiveFinite_h
#define _edoContAdaptiveFinite_h
#include "edoContinue.h"
/** A continuator that check if any element in the parameters
* of an edoNormalAdaptive distribution are finite
*
* If any element of any parameter is infinity or NaN (Not A Number),
* it will ask for a stop.
*
* @ingroup Continuators
*/
template<class D>
class edoContAdaptiveFinite : public edoContinue<D>
{
public:
using EOType = typename D::EOType;
using Matrix = typename D::Matrix;
using Vector = typename D::Vector;
bool operator()(const D& d)
{
bool fin_sigma = is_finite(d.sigma() );
bool fin_path_sigma = is_finite(d.path_sigma());
bool fin_scaling = is_finite(d.scaling() );
bool fin_coord_sys = is_finite(d.coord_sys() );
bool fin_path_covar = is_finite(d.path_covar());
bool fin_covar = is_finite(d.covar() );
bool all_finite = fin_covar
and fin_path_covar
and fin_coord_sys
and fin_scaling
and fin_path_sigma
and fin_sigma;
if( not all_finite ) {
eo::log << eo::progress << "STOP because parameters are not finite: ";
if( not fin_covar ) { eo::log << eo::errors << "covar, "; }
if( not fin_path_covar ) { eo::log << eo::errors << "path_covar, "; }
if( not fin_coord_sys ) { eo::log << eo::errors << "coord_sys, "; }
if( not fin_scaling ) { eo::log << eo::errors << "scaling, "; }
if( not fin_path_sigma ) { eo::log << eo::errors << "path_sigma, "; }
if( not fin_sigma ) { eo::log << eo::errors << "sigma"; }
eo::log << eo::errors << std::endl;
}
return all_finite;
}
virtual std::string className() const { return "edoContAdaptiveFinite"; }
protected:
bool is_finite(const Matrix& mat) const
{
for(long i=0; i<mat.rows(); ++i) {
for(long j=0; j<mat.cols(); ++j) {
// Double negation because one want to escape
// as soon as one element is not finite.
if(not is_finite(mat(i,j))) {
return false;
}
}
}
return true;
}
bool is_finite(const Vector& vec) const
{
for(long i=0; i<vec.size(); ++i) {
if(not is_finite(vec[i])) {
return false;
}
}
return true;
}
bool is_finite(const typename EOType::AtomType& x) const
{
if(std::isfinite(x)) {
return true;
} else {
return false;
}
}
};
#endif