BayesianActiveLearningSampler.h

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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

#pragma once

#include "PMCMCBase.h"
#include "ReporterInterface.h"

class BayesianActiveLearningSampler : public PMCMCBase
{
public:
  static InputParameters validParams();

  BayesianActiveLearningSampler(const InputParameters & parameters);

  const std::vector<std::vector<Real>> & getSampleTries() const;

  const std::vector<Real> & getVarSampleTries() const;

protected:
  virtual void proposeSamples() override;

  const std::vector<unsigned int> & _sorted_indices;

private:
  const unsigned int & _num_tries;

  std::vector<std::vector<Real>> _inputs_test;

  std::vector<Real> _var_test;
};