ProbabilityofImprovement.C

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//* This file is part of the MOOSE framework
//* https://www.mooseframework.org
//*
//* All rights reserved, see COPYRIGHT for full restrictions
//* https://github.com/idaholab/moose/blob/master/COPYRIGHT
//*
//* Licensed under LGPL 2.1, please see LICENSE for details
//* https://www.gnu.org/licenses/lgpl-2.1.html
 
#include "ProbabilityofImprovement.h"
#include "Normal.h"
#include <cmath>
 
registerMooseObject("StochasticToolsApp", ProbabilityofImprovement);
 
InputParameters
ProbabilityofImprovement::validParams()
{
  InputParameters params = ParallelAcquisitionFunctionBase::validParams();
  params.addClassDescription("Probability of improvement acquisition function.");
  return params;
}
 
ProbabilityofImprovement::ProbabilityofImprovement(const InputParameters & parameters)
  : ParallelAcquisitionFunctionBase(parameters)
{
}
 
void
ProbabilityofImprovement::computeAcquisitionInternal(
    std::vector<Real> & acq,
    const std::vector<Real> & gp_mean,
    const std::vector<Real> & gp_std,
    const std::vector<std::vector<Real>> & /*test_inputs*/,
    const std::vector<std::vector<Real>> & /*train_inputs*/,
    const std::vector<Real> & generic) const
{
  auto maxIt = std::max_element(generic.begin(), generic.end());
  for (unsigned int i = 0; i < gp_mean.size(); ++i)
    acq[i] = Normal::cdf(gp_mean[i] - *maxIt, 0.0, gp_std[i]);
}