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// ************************************************************************************************
//
// BornAgain: simulate and fit reflection and scattering
//
//! @file Fit/Minimizer/MinimizerResult.cpp
//! @brief Implements class MinimizerResult.
//!
//! @homepage http://www.bornagainproject.org
//! @license GNU General Public License v3 or higher (see COPYING)
//! @copyright Forschungszentrum Jülich GmbH 2018
//! @authors Scientific Computing Group at MLZ (see CITATION, AUTHORS)
//
// ************************************************************************************************
#include "Fit/Minimizer/MinimizerResult.h"
#include "Fit/Tool/MinimizerUtil.h"
#include <boost/format.hpp>
#include <sstream>
namespace {
std::string reportParameters(const mumufit::Parameters& parameters)
{
std::ostringstream result;
result << mumufit::utils::sectionString("FitParameters");
result << "Name StartValue Limits FitValue"
<< " Error" << std::endl;
for (const auto& par : parameters) {
result << boost::format("%-26.26s %-8.3e %-28s %-8.3e %8.3e \n") % par.name()
% par.startValue() % par.limits().toString() % par.value() % par.error();
}
double2d_t matrix = parameters.correlationMatrix();
if (!matrix.empty()) {
result << mumufit::utils::sectionString("Correlations");
for (size_t i = 0; i < matrix.size(); ++i) {
result << boost::format("#%-2d ") % i;
for (size_t j = 0; j < matrix[i].size(); ++j)
result << boost::format("%_7.4f ") % matrix[i][j];
result << std::endl;
}
}
return result.str();
}
} // namespace
// ************************************************************************************************
// class MinimizerResult
// ************************************************************************************************
using namespace mumufit;
MinimizerResult::MinimizerResult()
: m_min_value(0.0)
, m_number_of_calls(0)
, m_number_of_gradient_calls(0)
, m_duration(0.0)
{
}
void MinimizerResult::setParameters(const Parameters& parameters)
{
m_parameters = parameters;
}
void MinimizerResult::setMinValue(double value)
{
m_min_value = value;
}
//! Minimum value of objective function found by minimizer.
//! Returns multi-line string representing minimization results.
std::string MinimizerResult::toString() const
{
std::ostringstream result;
if (m_minimizer_report.empty()) {
result << "Don't know anything about external minimizer. "
<< "Use minimizer API to get result of minimization.\n";
} else {
result << mumufit::utils::sectionString();
result << "Run time (sec) : " << m_duration << "\n";
result << "Objective function calls : " << m_number_of_calls << "\n";
result << "Gradient calls : " << m_number_of_gradient_calls << "\n";
result << m_minimizer_report;
result << reportParameters(m_parameters);
}
return result.str();
}
void MinimizerResult::setReport(const std::string& value)
{
m_minimizer_report = value;
}
void MinimizerResult::setDuration(double value)
{
m_duration = value;
}
void MinimizerResult::setNumberOfCalls(int value)
{
m_number_of_calls = value;
}
void MinimizerResult::setNumberOfGradientCalls(int value)
{
m_number_of_gradient_calls = value;
}
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