BiFidelityActiveLearningGPDecision.h

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//* This file is part of the MOOSE framework
//* https://mooseframework.inl.gov
//*
//* 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

#pragma once

#include "ActiveLearningGPDecision.h"

class BiFidelityActiveLearningGPDecision : public ActiveLearningGPDecision
{
public:
  static InputParameters validParams();

  BiFidelityActiveLearningGPDecision(const InputParameters & parameters);

protected:
  virtual void preNeedSample() override;

  virtual bool needSample(const std::vector<Real> & row,
                          dof_id_type local_ind,
                          dof_id_type global_ind,
                          Real & val) override;

  virtual bool facilitateDecision() override;

private:
  Sampler & _sampler;

  const std::vector<Real> & _outputs_lf;

  std::vector<Real> _outputs_lf_batch;

  std::vector<Real> & _lf_corrected;

  libMesh::Parallel::Communicator & _local_comm;
};